## Understanding the Boxplot### Boxplot Diagram Explanation:The image shows a boxplot with the following components:- **Box:** The center box represents the interquartile range (IQR), which is the middle 50% of the data.- **Whiskers:** They extend 1.5 times the IQR from the edges of the box. This suggests the range in which most of the data points lie.- **1.5 IQR Notation:** Indicates the extent of the whiskers from both sides of the box.### Questions:**a. Does the boxplot indicate possible outliers in the distribution?**- **Answer:** Yes (selected option)- This implies that data points may fall outside the 1.5 IQR range, potentially indicating outliers.**b. Describe the skewness of the underlying distribution.**- **Options:** - ○ The distribution is symmetric. - ○ The distribution is positively skewed. - ○ The distribution is negatively skewed.No option is selected in the image for this part, indicating the need for further analysis or context to determine skewness.

given data data is calle outlier if it is below Q1-1.5IQR or Q3+1.5IQR

Answered: Consider the following boxplot. 1.5 IQR…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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16. In a distribution skewed to the right: select one:
An amusement park keeps track of the percentage of individuals with season passes according to age category. An independent tourist company would like to show that this distribution of age category for individuals buying season passes is different from what the amusement park claims. The tourist company randomly sampled 200 individuals entering the park with a season pass and recorded the number of individuals within each age category. Age Category Child (under 13 years old) Teen (13 to 19 years old) Adult (20 to 55 years old) Senior (56 years old and over) Number of Individuals 56 86 44 14 The tourist company will use the data to test the amusement park’s claim, which is reflected in the following null hypothesis. H0:pchild=0.23H0:pchild=0.23, pteen=0.45pteen=0.45, padult=0.20padult=0.20, and psenior=0.12psenior=0.12. What inference procedure will the company use to investigate whether or not the distribution of age category for individuals with season passes is…
A 20 question multiple choice exam was given to a class. The distribution below is for the number of wrong out of twenty. Number Wrong 0 1 2 3 4 5 6 7 8 P(X) ??? 0.07 0.1 0.14 0.13 0.2 0.17 0.03 0.01 Find the missing value from the table. 0.140.14 0.150.15 0.130.13 0.160.16
FREE RESPONSE 1. The table below summarizes combined city/highway fuel econ- y for new cars classified as "large" models. 11. N MEAN STDEV SEMEAN TRMEAN MIN Q1 MEDIAN Q3 MAX 0.417 65 19.6 3.36 19.5 14 17 19 21 28 a) What do the summary statistics suggest about the overall shape of the distribution? Explain. b) Are there any outliers in the data? Explain how you deter- mined this. c) In advertising for its own vehicle, a competitor described one large car that gets 17 mpg as exceptionally gas-thirsty. Based on the summary statistics above, comment on that characterization. 4. The requ hea sur on of a
The table gives information on majors at a certain college. Sketch an appropriate graph of the distribution, and comment on its important features. Click the icon to view the table of majors information. One type of graph appropriate for showing this distribution is a bar chart. Which of the following bar charts correctly shows the given distribution? ○ A. Porcentage О в. Q 50- 50- 40- 40- 30- 20 30- 20- G 10- 10- 0+ 0+ HSS MS T Major H'SS'MS' T Major A. Pie chart ○ C. 50- Q 40- Percentage 30- 20 10- 0+ HSS MSI Major Which of the following would also be appropriate graphs for showing the given distribution? Select all that apply. ☐ ☐ ☐ ☐ B. Stemplot C. Pareto chart D. Histogram E. Dotplot F. None of the above Which of the following is the best description of the distribution's important features? OA. The mode is Social Science (SS). OB. The mode is Humanities (H). Majors ○ D. 50- Q Percentage 40- 30- 20- 10- 0+ H SS MSI Major Major H. Humanities SS. Social Science Percentage 39 17 MS.…
The following set of data is from a sample of n = 7. 8 7 4 9 1 7 13 O a. Compute the mean, median, and mode. b. Compute the range, variance, standard deviation, and coefficient of variation. c. Compute the Z scores. Are there any outliers? d. Describe the shape of the data set. a. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. O A. The mean is (Type an integer or a decimal. Do not round. Use a comma to separate answers as needed) O B. There is no solution. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. O A. The median is. (Type an integer or a decimal. Do not round. Use a comma to separate answers needed) O B. There is no solution. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. Click to select your answer(s).
when a population distribution is symmetric, unimodal, without outliers?
In this exercise involving paired differences, consider that it is reasonable to assume the populations being compared have approximately the same shape and that the distribution of paired differences is approximately symmetric. Percents of on-time arrivals for flights in 2006 and 2007 were collected for 11 randomly selected airports. Suppose data for these airports follow. Airport 1 2 3 4 5 6 7 9 10 11 Percent On-Time 2006 71.78 68.23 78.98 78.71 78.59 76.67 What is your conclusion? 77.67 75.29 70.39 79.91 74.55 2007 68.69 65.88 79.40 Find the value of the test statistic. T = 63 ✓ 75.78 73.45 78.68 75.38 71.98 62.84 76.49 Use a = 0.05 to test the hypothesis that there is no difference between the median percent of on-time arrivals for the two years. State the null and alternative hypotheses. 72.42 O Ho: Median percent on-time in 2006 - Median percent on-time in 2007 = 0 H₂: Median percent on-time in 2006 - Median percent on-time in 2007 + 0 O Ho: Median percent on-time in 2006 -…
The accompanying histogram shows the lengths of hospital stays (in days) for all female patients admitted to a certain hospital during one year with a primary diagnosis of acute myocardial infarction (heart attack). Complete parts (a) through (c) below. a) From the histogram, determine whether the mean or median is larger. Explain. A. Because the distribution is nearly symmetric, the mean is expected to be larger than the median. B. Because the distribution is nearly symmetric, the mean is expected to be about the same as the median. C. Because the distribution is skewed to the high end, the mean is expected to be larger than the median. D. Because the distribution is skewed to the high end, the mean is expected to be smaller than the median. E. Because the distribution is skewed to the low end, the mean is expected to be larger than the median. F. Because the distribution is skewed to the low end, the mean is expected to be…
Describe the natures of the two distributions (uniform, normal, skewed left, skewed right), and identify possible outliers.

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Consider the following boxplot. 1.5 IQR a. Does the boxplot indicate possible outliers in the distribution? Yes O No 1.5 IQR b. Describe the skewness of the underlying distribution. O The distribution is symmetric. O The distribution is positively skewed. O The distribution is negatively skewed.